Simulation on optimization of torque controller for switched reluctance motor used in electric vehicles

The Switched Reluctance Motor (SRM) drive performance used in electric vehicles is very important for improving the dynamic performance of the vehicle. In order to reduce the torque ripple, increase the torque and optimize the drive performance of the SRM, the nonlinear dynamic model is established in the MATLAB/Simulink environment. The function relation is made among the dynamic drive performance, rotor speed and turn-off angle. And the function relation is established between turn-off angle and rotor speed in order to reduce the torque and increase the torque. Then the optimization torque controller is designed based on the variable turn-off angle. The simulation results show that the optimization torque controller designed in this paper can effectively reduce the torque ripple, increase the ripple, and optimize the torque dynamic performance of the SRM.